code: def test_compatible_with_espnet1():
      layer = LogMelFbank(
          n_fft=16, hop_length=4, n_mels=4, fs="16k", fmin=80, fmax=7600
      )
      x = torch.randn(1, 100)
      y, _ = layer(x, torch.LongTensor([100]))
      y = y.numpy()[0]
      y2 = logmelspectrogram(
          x[0].numpy(),
          n_fft=16,
          n_shift=4,
          n_mels=4,
          fs=16000,
          fmin=80,
          fmax=7600,
      )
      np.testing.assert_allclose(y, y2, rtol=0, atol=1e-5)
  
file_path: espnet/test/espnet2/tts/feats_extract/test_log_mel_fbank.py
imports: import numpy
  import torch
  from espnet2.tts.feats_extract.log_mel_fbank import LogMelFbank
  from espnet.transform.spectrogram import logmelspectrogram
label_desc: Use image node_id 6 for calling a global function with example usage: test_compatible_with_espnet1() without return types